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  • 1
    ISSN: 1751-8369
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Geosciences
    Notes: Kongsfjorden is a glacial fjord in the Arctic (Svalbard) that is influenced by both Atlantic and Arctic water masses and harbours a mixture of boreal and Arctic flora and fauna. Inputs from large tidal glaciers create steep environmental gradients in sedimentation and salinity along the length of this fjord. The glacial inputs cause reduced biomass and diversity in the benthic community in the inner fjord. Zooplankton suffers direct mortality from the glacial outflow and primary production is reduced because of limited light levels in the turbid, mixed inner waters. The magnitude of the glacial effects diminishes towards the outer fjord. Kongsfjorden is an important feeding ground for marine mammals and seabirds. Even though the fjord contains some boreal fauna, the prey consumed by upper trophic levels is mainly Arctic organisms. Marine mammals constitute the largest top-predator biomass, but seabirds have the largest energy intake and also export nutrients and energy out of the marine environment. Kongsfjorden has received a lot of research attention in the recent past. The current interest in the fjord is primarily based on the fact that Kongsfjorden is particularly suitable as a site for exploring the impacts of possible climate changes, with Atlantic water influx and melting of tidal glaciers both being linked to climate variability. The pelagic ecosystem is likely to be most sensitive to the Atlantic versus Arctic influence, whereas the benthic ecosystem is more affected by long-term changes in hydrography as well as changes in glacial runoff and sedimentation. Kongsfjorden will be an important Arctic monitoring site over the coming decades and a review of the current knowledge, and a gap analysis, are therefore warranted. Important knowledge gaps include a lack of quantitative data on production, abundance of key prey species, and the role of advection on the biological communities in the fjord.
    Type of Medium: Electronic Resource
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Andrade, Hector; Renaud, Paul E; Wlodarska-Kowalczuk, Maria; Pardus, Joanna; Carroll, Michael L; Cochrane, Sabine K J; Dahle, Salve; Palerud, Rune (2017): Benthic fauna in soft sediments from the Barents and Pechora Seas. Metadata and database from Akvaplan-niva AS research expeditions, from 1992-2005. Akvaplan-niva Rapport, APN-6770-001, 14 pp, hdl:10013/epic.51439.d001
    Publication Date: 2023-12-13
    Description: Benthic infaunal abundance data from 138 stations in the Barents Sea and surrounding waters are provided in a public database. All samples were collected with a 0.1 m2 van Veen grab and identification was carried out by professional taxonomists. Most abundance data are presented at the species level.
    Keywords: Abietinaria sp.; Abyssoninoe hibernica; Abyssoninoe sp.; Acanthonotozoma cristatum; Acanthonotozoma inflatum; Acanthonotozoma serratum; Acanthonotozoma sp.; Acanthostepheia behringiensis; Acanthostepheia malmgreni; Aceroides latipes; Aceroides sedovi; Acidostoma obesum; Actiniaria indeterminata; Actinia sp.; Actiniidae indeterminata; Admete couthouyi; Admete sp.; Admete viridula; Aeginina longicornis; Aeta sp.; Aglaophamus malmgreni; Alcyonacea indeterminata; Alcyonidium disciforme; Alcyonidium excavatum; Alcyonidium gelatinosum; Alcyonidium gelatinosum andessoni; Alcyonidium mamillatum; Alcyonidium mytili; Alcyonidium protoseideum; Alcyonidium radicellatum; Alcyonidium sp.; Allia sp.; Alvania jeffreysi; Alvania moerchi; Alvania scrobiculata; Alvania sp.; Alvania viridula; Alvania wyvillethomsoni; Amaeana trilobata; Amage auricula; Amauropsis islandica; Ampelisca eschrichtii; Ampelisca macrocephala; Ampelisca sp.; Ampeliscidae indeterminata; Ampharete acutifrons; Ampharete baltica; Ampharete borealis; Ampharete finmarchica; Ampharete goesi; Ampharete lindstroemi; Ampharete sp.; Ampharete vega; Ampharetidae indeterminata; Amphiblestrum auritum; Amphiblestrum septentrionalis; Amphiblestrum solidum; Amphicteis gunneri; Amphicteis ninonae; Amphicteis sundevalli; Amphictene auricoma; Amphilochidae indeterminata; Amphilochus manudens; Amphilochus sp.; Amphipholis torelli; Amphipoda indeterminata; Amphiporidae indeterminata; Amphitrite cirrata; Amphitrite groenlandica; Amphitritinae indeterminata; Amphiura sp.; Amphiura sundevalli; Ampithoe sp.; Anasca spp.; Anatoma crispata; Anobothrus gracilis; Anonyx laticoxae; Anonyx lilljeborgii; Anonyx nugax; Anonyx sarsi; Anonyx sp.; Anopla indeterminata; Antalis entalis; Antalis sp.; Anthozoa indeterminata; Antinoella badia; Antinoella sp.; Aoridae indeterminata; Aphelochaeta marioni; Aphelochaeta sp.; Apherusa sarsii; Aphroditidae indeterminata; Apistobranchus sp.; Apistobranchus tullbergi; Aplacophora spp.; Apomatus sp.; Apseudidae indeterminata; Arachnidium simplex; Arctic_sta1; Arctic_sta10; Arctic_sta11; Arctic_sta118; Arctic_sta119; Arctic_sta12; Arctic_sta122; Arctic_sta128; Arctic_sta13; Arctic_sta133; Arctic_sta135; Arctic_sta140; Arctic_sta141; Arctic_sta145; Arctic_sta148; Arctic_sta15; Arctic_sta151; Arctic_sta159; Arctic_sta16; Arctic_sta161; Arctic_sta162; Arctic_sta163; Arctic_sta17; Arctic_sta171; Arctic_sta174; Arctic_sta178; Arctic_sta18; Arctic_sta21; Arctic_sta22; Arctic_sta24; Arctic_sta26; Arctic_sta28; Arctic_sta29; Arctic_sta31; Arctic_sta32; Arctic_sta34; Arctic_sta4; Arctic_sta45; Arctic_sta47; Arctic_sta48; Arctic_sta5; Arctic_sta50; Arctic_sta5191; Arctic_sta5192; Arctic_sta5193; Arctic_sta52; Arctic_sta54; Arctic_sta5531; Arctic_sta5532; Arctic_sta5533; Arctic_sta5534; Arctic_sta5535; Arctic_sta5536; Arctic_sta5537; Arctic_sta5538; Arctic_sta56; Arctic_sta57; Arctic_sta58; Arctic_sta6; Arctic_sta617; Arctic_sta618; Arctic_sta619; Arctic_sta620; Arctic_sta621; Arctic_sta622; Arctic_sta623; Arctic_sta624; Arctic_sta625; Arctic_sta626; Arctic_sta627; Arctic_sta628; Arctic_sta629; Arctic_sta630; Arctic_sta65; Arctic_sta7; Arctic_sta8; Arctic_sta811; Arctic_sta812; Arctic_sta813; Arctic_sta814; Arctic_sta815; Arctic_sta816; Arctic_sta817; Arctic_sta818; Arctic_sta819; Arctic_sta820; Arctic_sta821; Arctic_sta822; Arctic_sta823; Arctic_sta824; Arctic_sta9; Arctic_staBS1; Arctic_staBS10; Arctic_staBS11; Arctic_staBS12; Arctic_staBS13; Arctic_staBS14; Arctic_staBS15; Arctic_staBS16; Arctic_staBS17; Arctic_staBS18; Arctic_staBS19; Arctic_staBS2; Arctic_staBS20; Arctic_staBS21; Arctic_staBS22; Arctic_staBS23; Arctic_staBS24; Arctic_staBS25; Arctic_staBS26; Arctic_staBS27; Arctic_staBS28; Arctic_staBS29; Arctic_staBS3; Arctic_staBS30; Arctic_staBS31; Arctic_staBS32; Arctic_staBS33; Arctic_staBS34; Arctic_staBS35; Arctic_staBS36; Arctic_staBS37; Arctic_staBS38; Arctic_staBS39; Arctic_staBS4; Arctic_staBS40; Arctic_staBS41; Arctic_staBS42; Arctic_staBS43; Arctic_staBS44; Arctic_staBS45; Arctic_staBS46; Arctic_staBS47; Arctic_staBS5; Arctic_staBS6; Arctic_staBS7; Arctic_staBS8; Arctic_staBS9; Arctica islandica; Arctinula greenlandica; Arctolembos arcticus; Arctonula arctica; Argissa hamatipes; Ariadnaria borealis; Aricidea catherinae; Aricidea hartmani; Aricidea nolani; Aricidea quadrilobata; Aricidea sp.; Arrhinopsis longicornis; Arrhis phyllonyx; Arrhis phyllonyx arcticus; Artacama proboscidea; Ascidiacea indeterminata; Ascidia sp.; Asellota indeterminata; Astarte borealis; Astarte crebricostata; Astarte crenata; Astarte elliptica; Astarte montagui; Astarte sp.; Astarte sulcata; Astartidae indeterminata; Asterias rubens; Asteroidea indeterminata; Astrorhiza limicola; Asychis biceps; Athecata indeterminata; Atylus carinatus; Atylus smittii; Atylus sp.; Augeneria algida; Autolytus sp.; Axinopsida orbiculata; Axionice flexuosa; Axionice maculata; Axiothella sp.; Balanidae indeterminata; Balanus balanus; Balanus crenatus; Balanus sp.; Barents Sea; Bathyarca frielei; Bathyarca glacialis; Bathyarca pectunculoides; Bathyarca sp.; Bispira crassicornis; Bivalvia; Boltenia echinata; Boreonymphon robustum; Boreotrofon sp.; Boreotrophon truncatus; Bowerbankia arctica; Bowerbankia caudata; Bowerbankia imbricata; Bowerbankia sp.; Brachiopoda indeterminata; Brachydiastylis resima; Brachyura indeterminata; Brada granulosa; Brada inhabilis; Brada rugosa; Brada sp.; Brada villosa; Branchiomma arcticum; Branchiomma bombyx; Branchiomma infarctum; Branchiomma sp.; Brisaster fragilis; Brookesena turrita; Bryozoa indeterminata; Buccinidae indeterminata; Buccinum cyaneum; Buccinum glaciale; Buccinum sp.; Buccinum undatum; Buffonellaria biaperta; Buffonellaria divergens; Bugula elongata; Bugula fastigiata; Bugula harmsworthi; Bugula purpurotincta; Bushiella (Jungaria) quadrangularis; Byblis arcticus; Byblis erythrops; Byblis gaimardi; Byblis longicornis; Byblis minuticornis; Byblis sp.; Bylgides elegans; Bylgides groenlandicus; Bylgides promamme; Bylgides sarsi; Bylgides sp.; Caecognathia elongata; Calanoida indeterminata; Calathura brachiata; Calliopiidae indeterminata; Calliopius laeviusculus; Callopora craticula; Callopora lata; Callopora lineata; Callopora obesa; Callopora smitti; Callopora sp.; Callopora whiteavesi; Campanularia volubilis; Campylaspis costata; Campylaspis glabra; Campylaspis horrida; Campylaspis rubicunda; Campylaspis sp.; Campylaspis stephenseni; Campylaspis sulcata; Campylaspis umbensis; Capitella capitata; Capitella sp.; Capitellidae indeterminata; Capnella florida; Capnella glomerata; Caprellidae indeterminata; Cardiidae indeterminata; Carinina sp.; Carinoma sp.; Caudofoveata indeterminata; Cauloramphopus spiniferum; Cellepora nodulosa; Cellepora pumicosa; Cellepora sp.; Celleporella hyalina; Celleporina incrassata; Celleporina sp.; Celleporina surcularis; Celleporina ventricosa; Ceradocus torelli; Cerebratulus longifissus; Cerebratulus sp.; Cerianthus lloydii; Cerianthus sp.; Cerithiella metula; Chaetoderma intermedium; Chaetoderma nitidulum; Chaetoderma sp.; Chaetonymphon sp.; Chaetozone setosa; Chaetozone sp.; Chartella membranaceotruncata; Cheilopora sincera; Cheiloporina sincera; Cheiloporina sp.; Cheilostomatida indeterminata; Chirimia biceps; Chironomidae indeterminata; Chitinopoma serrula; Chlamys islandica; Chlamys sp.; Chone analis; Chone duneri; Chone filicaudata; Chone infundibuliformis; Chone murmanica; Chone paucibranchiata; Chone perseyi; Chone sp.; Ciliatocardium ciliatum; Cingula globosus; Cingula sp.; Circeis armoricana; Circeis spirillum; Cirratulidae indeterminata; Cirratulus caudatus; Cirratulus cirratus; Cirratulus sp.; Cirripedia indeterminata; Cirrophorus branchiatus; Cirrophorus furcatus; Cistenides hyperborea; Clavodorum sp.; Clinocardium ciliatum; Clione limacina; Clymenura borealis; Clymenura polaris; Clymenura sp.; Cnemidocarpa rhizopus; Cnidaria indeterminata; Colus sabini; Colus sp.; Copepoda indeterminata; Corophiidae indeterminata; Corophium bonnellii; Corophium
    Type: Dataset
    Format: text/tab-separated-values, 190164 data points
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  • 3
    Publication Date: 2024-03-01
    Description: The samples have been collected with R/V Polarstern during PS109 between September and October 2017. Sediment was collected with a camera-equipped MUC (TV-MUC; diameter of 93mm; circle area 0.007 m2) or with a benthic lander (dimensions 20 cmx20 cm; square area 0.04 m²), sliced into 0-5 cm and 5-10 cm layers and subsequently sieved over a 500 µm mesh. Afterwards, the samples were fixed with 4 % seawater-buffered formaldehyde in Kautex bottles at room temperature. In the lab, samples were stained with Rose Bengal and macrofauna and foraminifera individuals were identified to the lowest taxonomic level possible, and the blotted wet formalin weight of macrofauna individuals was measured with a precision balance (DeltaRange XP56 or AX205; Mettler Toledo, Ohio, USA).
    Keywords: Arctic; ARK-XXXI/4; B_LANDER; Bottom lander; Counted; Date/Time of event; Elevation of event; Event label; FRAM; FRontiers in Arctic marine Monitoring; Latitude of event; Longitude of event; Macrobenthos; Macrofauna, number of species; Method/Device of event; Multicorer with television; NEW Polynya; Northeast Water Polynya; outflow shelf; Phylum; Polarstern; Polychaeta; PS109; PS109_105-1; PS109_107-1; PS109_115-3; PS109_122-1; PS109_125-2; PS109_129-1; PS109_139-2; PS109_139-3; PS109_154-1; PS109_19-4; PS109_36-3; PS109_45-3; PS109_45-4; PS109_68-1; PS109_69-1; PS109_76-2; PS109_84-2; PS109_85-1; PS109_93-2; Sample ID; sediment; species; species composition; Species distribution; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); TVMUC; Weighted; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 3947 data points
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  • 4
    Publication Date: 2019-02-01
    Description: Time-series studies of arctic marine ecosystems are rare. This is not surprising since polar regions are largely only accessible by means of expensive modern infrastructure and instrumentation. In 1999, the Alfred Wegener Institute, Helmholtz-Centre for Polar and Marine Research (AWI) established the LTER (Long-Term Ecological Research) observatory HAUSGARTEN crossing the Fram Strait at about 79° N. Multidisciplinary investigations covering all parts of the open-ocean ecosystem are carried out at a total of 21 permanent sampling sites in water depths ranging between 250 and 5500 m. From the outset, repeated sampling in the water column and at the deep seafloor during regular expeditions in summer months was complemented by continuous year-round sampling and sensing using autonomous instruments in anchored devices (i.e., moorings and free-falling systems). The central HAUSGARTEN station at 2500 m water depth in the eastern Fram Strait serves as an experimental area for unique biological in situ experiments at the seafloor, simulating various scenarios in changing environmental settings. Long-term ecological research at the HAUSGARTEN observatory revealed a number of interesting temporal trends in numerous biological variables from the pelagic system to the deep seafloor. Contrary to common intuition, the entire ecosystem responded exceptionally fast to environmental changes in the upper water column. Major variations were associated with a Warm-Water-Anomaly evident in surface waters in eastern parts of the Fram Strait between 2005 and 2008. However, even after 15 years of intense time-series work at HAUSGARTEN, we cannot yet predict with complete certainty whether these trends indicate lasting alterations due to anthropologically-induced global environmental changes of the system, or whether they reflect natural variability on multiyear time-scales, for example, in relation to decadal oscillatory atmospheric processes.
    Type: Article , PeerReviewed
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  • 5
    Publication Date: 2021-01-20
    Description: Seagrass meadows are among the most diverse and productive coastal ecosystems in the world. Currently, the accelerating loss of these habitats is recognized worldwide. In the southern Baltic Sea, a natural recovery of Zostera marina meadows has occurred after a dramatic reduction within the last century. The aim of this study is to understand if and how the recovering eelgrass meadows affect the functioning of benthic ecosystems. The trophic links within the benthic food webs in the seagrass meadows and bare sandy bottoms were depicted and compared. The trophic connections were examined by combining stable isotope (SI) composition (δ13C, δ15N) and fatty acid (FA) profiles of meio- and macrofauna consumers and of potential food sources (particulate organic matter, surface sediment organic matter, epiphytes, microphytobenthos/bacteria and macrophytes) in a Bayesian mixing model framework (MixSIAR). Significantly higher amounts of the FA bacterial marker (C18:1ɷ7) were observed in meiofauna (approximately 40%) than in the macrofauna (1% on average), suggesting that bacteria are an important part of the meiofauna diet. The mixing model results indicated that the benthic consumers in the vegetated habitat utilized more food sources (e.g., epiphytes in the diets of meiofauna and macrofaunal grazers) and thus had a more diverse diet. Macrofaunal omnivores relied to a larger degree on animal-derived organic matter in vegetated habitat, which could be linked to higher invertebrate prey availability. The results highlight the importance of recovering seagrass meadows in driving the mechanisms responsible for food web organization. Any type of change to the state of seagrass meadows is crucial to the functioning and stability of marine ecosystems.
    Type: Article , PeerReviewed
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  • 6
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    Unknown
    Elsevier
    In:  Journal of Experimental Marine Biology and Ecology, 510 . pp. 54-63.
    Publication Date: 2020-01-02
    Description: Seagrass meadows ecosystem engineering effects are correlated to their density (which is in turn linked to seasonal cycles) and often cannot be perceived below a given threshold level of engineer density. The density and biomass of seagrass meadows (Z. marina) together with associated macrophytes undergo substantial seasonal changes, with clear declines in winter. The present study aims to test whether the seasonal changes in the density of recovering seagrass meadows affect the benthic food webs of the southern Baltic Sea (Puck Bay). It includes meiofauna, macrofauna and fish of vegetated and unvegetated habitats in summer and winter seasons. Two levels of organization have been tested – species-specific diet preferences using stable isotopes (δ13C, δ15N) in Bayesian mixing models (MixSIAR) and the community-scale food web characteristics by means of isotopic niches (SIBER). Between-habitat differences were observed for grazers, as a greater food source diversity in species from vegetated habitats was noted in both seasons. Larger between-habitat differences in winter were documented for suspension/detritus feeders. The community-wide approach showed that the differences between the habitats were greater in winter than in summer (as indicated by the lower overlap of the respective isotope niches). Overall, the presence of seagrass meadows increased ecological stability (in terms of the range of food sources utilized by consumers) in the faunal assemblage, while invertebrates from unvegetated areas shifted their diet to cope with winter conditions. Therefore, as a more complex system, not sensitive to seasonal changes, Z. marina meadows create a stable habitat with high resilience potential.
    Type: Article , PeerReviewed
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  • 7
    Publication Date: 2024-01-01
    Description: Deep-sea benthic communities and their structural and functional characteristics are regulated by surface water processes. Our study focused on the impact of changes in water depth and food supplies on small-sized metazoan bottom-fauna (meiobenthos) along a bathymetric transect (1200–5500 m) in the western Fram Strait. The samples were collected every summer season from 2005 to 2009 within the scope of the HAUSGARTEN monitoring program. In comparison to other polar regions, the large inflow of organic matter to the sea floor translates into relatively high meiofaunal densities in this region. Densities along the bathymetric gradient range from approximately 2400 ind. 10 cm-2 at 1200 m to approximately 300 ind. 10 cm-2 at 4000 m. Differences in meiofaunal distribution among sediment layers (i.e., vertical profile) were stronger than among stations (i.e., bathymetric gradient). At all the stations meiofaunal densities and number of taxa were the highest in the surface sediment layer (0–1 cm), and these decreased with increasing sediment depth (down to 4–5 cm). However, the shape of the decreasing pattern differed significantly among stations. Meiofaunal densities and taxonomic richness decreased gradually with increasing sediment depth at the shallower stations with higher food availability. At deeper stations, where the availability of organic matter is generally lower, meiofaunal densities decreased sharply to minor proportions at sediment depths already at 2–3 cm. Nematodes were the most abundant organisms (60–98%) in all the sediment layers. The environmental factors best correlated to the vertical patterns of the meiofaunal community were sediment-bound chloroplastic pigments that indicate phytodetrital matter. Highlights • Small-scale heterogeneity is the main source of variation in meiofauna community. • Trophic conditions influence vertical patterns of meiofauna distribution. • Meiofauna abundance and biomass decrease with increasing water depth.
    Type: Article , PeerReviewed
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  • 8
    Publication Date: 2019-01-10
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 9
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    Unknown
    PERGAMON-ELSEVIER SCIENCE LTD
    In:  EPIC3Progress In Oceanography, PERGAMON-ELSEVIER SCIENCE LTD, 186, ISSN: 0079-6611
    Publication Date: 2020-06-12
    Description: This is the first study to present the patterns and environmental controls of benthic biomass size spectra, carbon demand, and production along the entire bathymetric gradient from the shelf to the abyssal depths in the Arctic Ocean. The materials were collected at 17 stations (76 - 5561 m) in the eastern Fram Strait, in the Atlantic passage to the Arctic Ocean, in the vicinity of the productive Marginal Ice Zone, with concentrations of sediment-bound chloroplastic pigments (indicating food availability from phytodetritus sedimentation) higher than in other deep-sea localities at similar depths. Meiobenthic and macrobenthic individuals were measured using image analysis to assess their biovolume, biomass, annual production, and carbon demand. Benthic biomass in the area was clearly higher than that in the High Arctic locations and comparable to that in the lower-latitude North Atlantic. Biomass and annual production were significantly negatively correlated with water depth, with stronger bathymetric clines in macrofauna than in meiofauna and the increasing dominance of meiofauna with increasing depth. A bimodal shape in the size spectra was observed only at the shallow stations, while at depths below 2000 m, an additional trough was present in the macrofaunal part of the spectrum. The entire range of the spectra (i.e., the number of size classes) decreased with increasing depth, especially in the macrofaunal part of the spectrum. Similar slope values in the normalized spectra indicated that the distribution of the biomass across the present size classes was consistent from the shelf to the abyssal depths, irrespective of the decreasing amount of food availability. The fragmented macrofaunal size spectra documented at the two stations were probably due to physical disturbances at the sediment-water interface (e.g., intense bioturbation of holothurians and strong near-bottom currents). Benthic carbon demand declined from 50.7 gC m-2 y-1 at the shelf to 11.5 gC m-2 y-1 at the slope to 2.2 gC m-2 y-1 at the abyssal depths, and its partitioning among meiofauna and macrofauna changed with water depth, with meiofauna contributions increasing from 50 % at the shelf to over 90 % at the deepest station. The estimated total benthic carbon demand exceeded the vertical Corg fluxes, suggesting that the studied system can be particularly sensitive to future changes in productivity regimes and associated organic matter fluxes.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
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    Unknown
    In:  EPIC35th World Congress on Marine Biodiversity, Auckland, New Zealand, 2020-12-13-2020-12-16
    Publication Date: 2020-12-01
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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